Anna Skalska

1.9k total citations · 1 hit paper
58 papers, 1.1k citations indexed

About

Anna Skalska is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology. According to data from OpenAlex, Anna Skalska has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 13 papers in Cardiology and Cardiovascular Medicine and 12 papers in Geriatrics and Gerontology. Recurrent topics in Anna Skalska's work include Nutrition and Health in Aging (15 papers), Frailty in Older Adults (12 papers) and Blood Pressure and Hypertension Studies (10 papers). Anna Skalska is often cited by papers focused on Nutrition and Health in Aging (15 papers), Frailty in Older Adults (12 papers) and Blood Pressure and Hypertension Studies (10 papers). Anna Skalska collaborates with scholars based in Poland, Switzerland and United Kingdom. Anna Skalska's co-authors include Małgorzata Mossakowska, Tomasz Grodzicki, Jerzy Chudek, Katarzyna Wieczorowska–Tobis, Monika Puzianowska‐Kuźnicka, Przemysław Ślusarczyk, Magdalena Owczarz, Edward Franek, Paweł Nadrowski and Marta Jonas and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Metabolism.

In The Last Decade

Anna Skalska

57 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interleukin-6 and C-reactive protein, successful aging, and mortality: the PolSenior study

2016 322 citations Monika Puzianowska‐Kuźnicka, Magdalena Owczarz et al. Immunity & Ageing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anna Skalska Poland	19	314	145	145	142	141	58	1.1k
Zeynel Abidin Öztürk Türkiye	21	529 1.7×	66 0.5×	104 0.7×	220 1.5×	159 1.1×	79	1.5k
Angela Juby Canada	22	182 0.6×	103 0.7×	63 0.4×	216 1.5×	168 1.2×	55	1.6k
Fatih Tufan Türkiye	19	664 2.1×	113 0.8×	362 2.5×	136 1.0×	106 0.8×	74	1.5k
Chih-Hsueh Lin Taiwan	19	316 1.0×	100 0.7×	202 1.4×	204 1.4×	180 1.3×	51	1.1k
J. M. Guralnik United States	8	601 1.9×	70 0.5×	305 2.1×	175 1.2×	103 0.7×	8	1.3k
Muhammet Cemal Kızılarslanoğlu Türkiye	21	693 2.2×	95 0.7×	410 2.8×	140 1.0×	118 0.8×	69	1.6k
Mako Nagayoshi Japan	21	447 1.4×	352 2.4×	57 0.4×	140 1.0×	138 1.0×	71	1.1k
Maysa Seabra Cendoroglo Brazil	18	239 0.8×	135 0.9×	51 0.4×	105 0.7×	101 0.7×	87	1.2k
María Jesús García de Yébenes Spain	22	90 0.3×	59 0.4×	72 0.5×	207 1.5×	121 0.9×	63	1.2k

Countries citing papers authored by Anna Skalska

Since Specialization

Citations

This map shows the geographic impact of Anna Skalska's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anna Skalska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Skalska more than expected).

Fields of papers citing papers by Anna Skalska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Skalska. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anna Skalska. The network helps show where Anna Skalska may publish in the future.

Co-authorship network of co-authors of Anna Skalska

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Skalska. A scholar is included among the top collaborators of Anna Skalska based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Skalska. Anna Skalska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Piotrowicz, Karolina, Adam Hajduk, Anna Skalska, et al.. (2023). The national burden of frailty and disproportionate distribution of its components—the predominance of slow gait speed: a 2018–19 face-to-face epidemiologic assessment representative of population of older Poles. Aging Clinical and Experimental Research. 35(3). 571–579. 6 indexed citations

Piotrowicz, Karolina, Dolores Sánchez‐Rodríguez, Anna Skalska, et al.. (2021). SARC-F as a case-finding tool for sarcopenia according to the EWGSOP2. National validation and comparison with other diagnostic standards. Aging Clinical and Experimental Research. 33(7). 1821–1829. 24 indexed citations

Puzianowska‐Kuźnicka, Monika, Alina Kuryłowicz, Dorota Walkiewicz, et al.. (2019). Obesity Paradox in Caucasian Seniors: Results of the PolSenior Study. The journal of nutrition health & aging. 23(9). 796–804. 28 indexed citations

Sulicka‐Grodzicka, Joanna, Agnieszka Pac, Monika Puzianowska‐Kuźnicka, et al.. (2018). Health status of older cancer survivors—results of the PolSenior study. Journal of Cancer Survivorship. 12(3). 326–333. 18 indexed citations

Szybalska, Aleksandra, Katarzyna Broczek, Monika Puzianowska‐Kuźnicka, et al.. (2018). Self-rated health and its association with all-cause mortality of older adults in Poland: The PolSenior project. Archives of Gerontology and Geriatrics. 79. 13–20. 37 indexed citations

Piotrowicz, Karolina, Jerzy Chudek, Monika Puzianowska‐Kuźnicka, et al.. (2018). Clinical examination of peripheral arterial disease and ankle–brachial index in a nationwide cohort of older subjects: practical implications. Aging Clinical and Experimental Research. 31(10). 1443–1449. 3 indexed citations

Chudek, Jerzy, Aureliusz Kolonko, Aleksander Owczarek, et al.. (2018). Clinical factors increasing discrepancies of renal function assessment with MDRD and Cockcroft–Gault equations in old individuals. European Geriatric Medicine. 9(5). 713–720. 7 indexed citations

Piotrowicz, Karolina, et al.. (2017). Is the Clock Drawing Test useful in the screening assessment of aged patients with chronic heart failure?. Advances in Medical Sciences. 63(1). 199–204. 1 indexed citations

Puzianowska‐Kuźnicka, Monika, Magdalena Owczarz, Katarzyna Wieczorowska–Tobis, et al.. (2016). Interleukin-6 and C-reactive protein, successful aging, and mortality: the PolSenior study. Immunity & Ageing. 13(1). 21–21. 322 indexed citations breakdown →

10.

Kocełak, Piotr, Magdalena Olszanecka‐Glinianowicz, Aleksander Owczarek, et al.. (2015). Plasma visfatin/nicotinamide phosphoribosyltransferase (visfatin/NAMPT) concentration in elderly subjects with metabolic syndrome. Polskie Archiwum Medycyny Wewnętrznej. 125(6). 402–413. 8 indexed citations

11.

Bożentowicz‐Wikarek, Maria, Piotr Kocełak, Aleksander Owczarek, et al.. (2015). Plasma fibroblast growth factor 23 concentration and iron status. Does the relationship exist in the elderly population?. Clinical Biochemistry. 48(6). 431–436. 26 indexed citations

12.

Starowicz–Filip, Anna, et al.. (2015). Stop walking when talking – a relationship between cognitive functions and gait control. SHILAP Revista de lepidopterología. 15(1). 22–27. 3 indexed citations

13.

Krzymińska-Siemaszko, Roma, Małgorzata Mossakowska, Anna Skalska, et al.. (2014). Social and economic correlates of malnutrition in Polish elderly population: The results of PolSenior study. The journal of nutrition health & aging. 19(4). 397–402. 23 indexed citations

14.

Bednarska‐Makaruk, Małgorzata, M. Rodo, Małgorzata Mossakowska, et al.. (2014). Paraoxonase 1 activity and level of antibodies directed against oxidized low density lipoproteins in a group of an elderly population in Poland – PolSenior study. Archives of Gerontology and Geriatrics. 60(1). 153–161. 6 indexed citations

15.

Chudek, Jerzy, Katarzyna Wieczorowska–Tobis, Jan Zejda, et al.. (2013). The prevalence of chronic kidney disease and its relation to socioeconomic conditions in an elderly Polish population: results from the national population-based study PolSenior. Nephrology Dialysis Transplantation. 29(5). 1073–1082. 31 indexed citations

16.

Skalska, Anna, Barbara Wizner, Karolina Piotrowicz, et al.. (2012). The prevalence of falls and their relation to visual and hearing impairments among a nation-wide cohort of older Poles. Experimental Gerontology. 48(2). 140–146. 52 indexed citations

17.

Tomaszewski, Krzysztof A., et al.. (2011). Walidacja polskiej wersji językowej Patient Health Questionnaire-9 w populacji hospitalizowanych osób starszych. Psychiatria Polska. 45(2). 4 indexed citations

18.

Skalska, Anna, et al.. (2008). Correlation of endothelin 1 plasma levels with plasma antioxidant capacity in elderly patients treated for hypertension. Clinical Biochemistry. 42(4-5). 358–364. 21 indexed citations

19.

Skalska, Anna, Jerzy Gąsowski, Marcin Cwynar, & Tomasz Grodzicki. (2005). The relationship between pulse wave velocity and indexes of collagen synthesis in hypertensive patients, according to the level of systolic blood pressure. Journal of Human Hypertension. 19(9). 731–735. 9 indexed citations

20.

Skalska, Anna. (2001). Oxygen Free Radicals and Arterial Hypertension. Arterial Hypertension. 5(2). 147–152. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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